An acceleration scheme for solving convex feasibility problems using incomplete projection algorithms

The Projected Aggregation Methods (PAM) for solving linear systems of equalities and/or inequalities, generate a new iterate xk+1 by projecting the current point xk onto a separating hyperplane generated by a given linear combination of the original hyperplanes or half-spaces. In [12] we introduced...

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Autores principales: Echebest, N., Guardarucci, M.T., Scolnik, H., Vacchino, M.C.
Formato: JOUR
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Acceso en línea:http://hdl.handle.net/20.500.12110/paper_10171398_v35_n2-4_p331_Echebest
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spelling todo:paper_10171398_v35_n2-4_p331_Echebest2023-10-03T15:56:23Z An acceleration scheme for solving convex feasibility problems using incomplete projection algorithms Echebest, N. Guardarucci, M.T. Scolnik, H. Vacchino, M.C. Aggregated projection methods Incomplete projections Systems of inequalities The Projected Aggregation Methods (PAM) for solving linear systems of equalities and/or inequalities, generate a new iterate xk+1 by projecting the current point xk onto a separating hyperplane generated by a given linear combination of the original hyperplanes or half-spaces. In [12] we introduced acceleration schemes for solving systems of linear equations by applying optimization techniques to the problem of finding the optimal combination of the hyperplanes within a PAM like framework. In this paper we generalize those results, introducing a new accelerated iterative method for solving systems of linear inequalities, together with the corresponding theoretical convergence results. In order to test its efficiency, numerical results obtained applying the new acceleration scheme to two algorithms introduced by García-Palomares and González- Castaño [6] are given. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_10171398_v35_n2-4_p331_Echebest
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Aggregated projection methods
Incomplete projections
Systems of inequalities
spellingShingle Aggregated projection methods
Incomplete projections
Systems of inequalities
Echebest, N.
Guardarucci, M.T.
Scolnik, H.
Vacchino, M.C.
An acceleration scheme for solving convex feasibility problems using incomplete projection algorithms
topic_facet Aggregated projection methods
Incomplete projections
Systems of inequalities
description The Projected Aggregation Methods (PAM) for solving linear systems of equalities and/or inequalities, generate a new iterate xk+1 by projecting the current point xk onto a separating hyperplane generated by a given linear combination of the original hyperplanes or half-spaces. In [12] we introduced acceleration schemes for solving systems of linear equations by applying optimization techniques to the problem of finding the optimal combination of the hyperplanes within a PAM like framework. In this paper we generalize those results, introducing a new accelerated iterative method for solving systems of linear inequalities, together with the corresponding theoretical convergence results. In order to test its efficiency, numerical results obtained applying the new acceleration scheme to two algorithms introduced by García-Palomares and González- Castaño [6] are given.
format JOUR
author Echebest, N.
Guardarucci, M.T.
Scolnik, H.
Vacchino, M.C.
author_facet Echebest, N.
Guardarucci, M.T.
Scolnik, H.
Vacchino, M.C.
author_sort Echebest, N.
title An acceleration scheme for solving convex feasibility problems using incomplete projection algorithms
title_short An acceleration scheme for solving convex feasibility problems using incomplete projection algorithms
title_full An acceleration scheme for solving convex feasibility problems using incomplete projection algorithms
title_fullStr An acceleration scheme for solving convex feasibility problems using incomplete projection algorithms
title_full_unstemmed An acceleration scheme for solving convex feasibility problems using incomplete projection algorithms
title_sort acceleration scheme for solving convex feasibility problems using incomplete projection algorithms
url http://hdl.handle.net/20.500.12110/paper_10171398_v35_n2-4_p331_Echebest
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